• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.1863-1866
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• 2003

유무선 네트워크와 최신 정보처리 기술을 기반으로 한 전자 거래의 활성화는 이미 전 세계적인 추세이다. 그러나 전자 공간에서의 거래는 물류를 이용하여 실제 현실 공간에서의 실물 또는 서비스의 연결이 될 때서야 비로소 완료된다. 전자 물류는 인터넷을 기반으로 한 물류 활동을 지원하기 위한 체계로서 물류 흐름 및 물류 계획과 관련된 서비스를 제공한다. 본 논문에서는 이러한 전자물류 체계에서 참여 기업들의 물류 거래 프로세스를 관리하기 위한 도구들의 구조 및 개발에 대한 연구 내용을 설명하고 있다.

• The Journal of Engineering Research
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• v.7 no.1
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• pp.105-117
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• 2005

Because of the recent boost of the application services utilizing electronic tags, researches about the electronic tag management are widely being proceeded. In order to manage the object information collected from various electronic tags XML based data process, which is widely used on the web, is being demanded. Thus, in this paper, we are defining the re-usable object typer that is often used in this business area. Utilizing both the data type we defined and the Core Event Type defined from EPCIS Spec, we designed the scheme matching the object data model of merchant shipping field.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.4
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• pp.918-925
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• 2004

SCM means that production companies set up schedules for the purchase, manufacture and sales of production parts, go on smoothly the flow of products (added value and material flow) by systematically arranging the demand plans of customers and the distribution situation, thereby executing the management of them in an effective way. This article aims at analyzing the external flow between government and companies and presenting the problems and the improvement plans, which can make clear all the information flow of supply networks including the internal integration.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.608-610
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• 2003

본 논문에서 제안하는 비즈니스 프로세스 관리 시스템 엔진은 ebXML 기반의 다자간 전자물류 시스템 프레임워크의 한 부분으로 기업간의 상호운영성에 초점을 맞춘다. ebXML 표준에 따라 개발된 e-비즈니스 플랫폼은 거래 참여자들이 접근하여 CPP 등록 및 CPA 체결을 하는데, 엔진의 역할은 이러한 CPA에 참조된 비즈니스 프로세스를 분석하여 비즈니스 프로세스의 수행 상태를 파악 및 진행을 유도한다. 본 논문은 S-비즈니스 프레임워크의 한 종류인 ebXML을 적용하여 전라물류 프로세스의 자동화와 기업간 상호운영성을 지원할 수 있는 비즈니스 프로세스 관리 시스템 엔진의 설계 및 구현 내용에 대해서 기술한다.

• Industrial Engineering and Management Systems
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• v.2 no.1
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• pp.28-34
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• 2003

The fundamental design issues that arise in the pickup and delivery system planning are optimizing the system with minimum cost and maximum throughput and service level. This study is concerned with the development of pickup and delivery system with customer responsive service level, DCM(Demand Chain Management). The distribution process and service map are consisted of manufacturing, warehousing, and pickup and delivery. First we formulated the vehicle pickup and delivery problem using GIS-VRP method so as to satisfy the customer service requests. Second, we developed a GUI-type computer program using AVL, automated vehicle location system. The computational results show that the proposed method is very effective on a set of test problems.

• IE interfaces
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• v.23 no.1
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• pp.12-23
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• 2010

A semiconductor market is one of the most competitive markets in the world. To survive this competition, important targets for production planning are on-time delivery and profit maximization. In our research, we modify the linear programming model for the current production planning by adding new objective functions that maximize the profit. In addition, we propose a production planning process that gives a priority to new products, reflecting daily fluctuations in demand to weekly production planning. We validate our model with real data sets obtained from a major company semiconductor manufacturer and performed the paired t-test to verify the results. The results showed that our model forecasted profit and loss with 93.2% accuracy and improved the due date satisfaction by 10%.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.958-961
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• 2015

코팅제는 다양한 산업 분야에서 중요성이 더욱 커지고 있으나 실제 제조업체에서는 여전히 작업자의 경영에 의존하여 배합공정을 수행하는 실정이다. 본 논문에서는 R과 실험계획법을 이용하여 코팅제 배합 공정을 분석하기 위한 프레임워크를 제안한다. 제안된 프레임워크를 통한 분석 결과는 보다 정량적인 작업 기준 데이터를 확보하고 작업 현장에 제공함으로써 코팅제 배합 공정을 개선시킬 수 있다. 특히 정확한 배합 기준이 되는 표준 데이터의 부재로 인한 품질 저하와 원가 손실을 감소시키고, 배합 공정에서 발생한 오차 데이터에 대하여 R과 실험 계획법을 이용한 분석을 통하여 표준 보정 관계식을 도출함으로써 차후 발생 가능한 오차에 대한 대응 방안을 제시할 수 있다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.4
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• pp.164-170
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• 2020

Recently, the aviation industry faced a major crisis due to the impact of COVID-19. However, despite the sluggish passenger transportation, the cargo transportation sector is relatively maintained or increasing depending on the item. In this study, we will look at the trends before and after COVID-19, focusing on the cargo export field, which is a concern of the aviation industry. First, it analyzes the entire air cargo and then analyzes the trends of each item and country in detail. In particular, it examines the process of changes in air transport costs, which increased significantly immediately after COVID-19, and conducts future trends and prospects in the cargo export field. As a result of the study, some characteristics of air cargo exports before and after COVID-19 were found in an analysis by item and country, and transportation costs varied according to route distance.

• Steel and Composite Structures
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• v.45 no.6
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• pp.877-894
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• 2022

Geopolymer concrete (GPC) has emerged as a feasible choice for construction materials as a result of the environmental issues associated with the production of cement. The findings of this study contribute to the development of machine learning methods for estimating the properties of eco-friendly concrete to help reduce CO₂ emissions in the construction industry. The compressive strength (f_c) of GPC is predicted using artificial intelligence approaches in the present study when ground granulated blast-furnace slag (GGBS) is substituted with natural zeolite (NZ), silica fume (SF), and varying NaOH concentrations. For this purpose, two machine learning methods multi-layer perceptron (MLP) and radial basis function (RBF) were considered and hybridized with arithmetic optimization algorithm (AOA), and grey wolf optimization algorithm (GWO). According to the results, all methods performed very well in predicting the f_c of GPC. The proposed AOA - MLP might be identified as the outperformed framework, although other methodologies (AOA - RBF, GWO - RBF, and GWO - MLP) were also reliable in the fc of GPC forecasting process.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.233-243
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• 2023

In modern society, since the expansion of the e-commerce market and the spread of the pandemic, face-to-face business are gradually changing to non-face-to-face. In the logistics industry, the demand for unmanned courier storage is increasing due to lack of loading space from urbanization and courier theft accidents. As the demand for unmanned parcel lockers increases, improved functions such as food storage and efficient space loading are required. This study develops an integrated model-based evaluation procedure of product based on performance factors according to the IEC 61508 standard for newly unmanned parcel storage devices with active loading technology, and derive Critical Technology Element based on the product's core functions and performance goals. As proposing these research, We expect improve the safety and reliability of development targets by identifying and evaluating elements.